دورية أكاديمية

Robust fitting for generalized additive models for location, scale and shape

التفاصيل البيبلوغرافية
العنوان: Robust fitting for generalized additive models for location, scale and shape
المؤلفون: Aeberhard, William H., Cantoni, Eva, Marra, Giampiero, Radice, Rosalba
المصدر: Statistics and Computing, 31 (1)
بيانات النشر: Springer
سنة النشر: 2021
المجموعة: ETH Zürich Research Collection
مصطلحات موضوعية: Bounded influence function, Nonparametric regression, Penalized smoothing splines, Robust smoothing parameter selection, Robust information criterion
الوصف: The validity of estimation and smoothing parameter selection for the wide class of generalized additive models for location, scale and shape (GAMLSS) relies on the correct specification of a likelihood function. Deviations from such assumption are known to mislead any likelihood-based inference and can hinder penalization schemes meant to ensure some degree of smoothness for nonlinear effects. We propose a general approach to achieve robustness in fitting GAMLSSs by limiting the contribution of observations with low log-likelihood values. Robust selection of the smoothing parameters can be carried out either by minimizing information criteria that naturally arise from the robustified likelihood or via an extended Fellner–Schall method. The latter allows for automatic smoothing parameter selection and is particularly advantageous in applications with multiple smoothing parameters. We also address the challenge of tuning robust estimators for models with nonlinear effects by proposing a novel median downweighting proportion criterion. This enables a fair comparison with existing robust estimators for the special case of generalized additive models, where our estimator competes favorably. The overall good performance of our proposal is illustrated by further simulations in the GAMLSS setting and by an application to functional magnetic resonance brain imaging using bivariate smoothing splines. ; ISSN:0960-3174 ; ISSN:1573-1375
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/application/pdf
اللغة: English
العلاقة: info:eu-repo/semantics/altIdentifier/wos/000610203500010; http://hdl.handle.net/20.500.11850/464572Test
DOI: 10.3929/ethz-b-000464572
الإتاحة: https://doi.org/20.500.11850/464572Test
https://doi.org/10.3929/ethz-b-000464572Test
https://doi.org/10.1007/s11222-020-09979-xTest
https://hdl.handle.net/20.500.11850/464572Test
حقوق: info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by/4.0Test/ ; Creative Commons Attribution 4.0 International
رقم الانضمام: edsbas.A71CC291
قاعدة البيانات: BASE